Hieke, S. W.; Willinger, M. G.; Wang, Z.-J.; Richter, G.; Dehm, G.; Scheu, C.: Evolution of faceted voids and fingering instabilities in a model thin film system - Insights by in-situ environmental scanning electron microscopy. Symposium - In situ Microscopy with Electrons, X‐rays and Scanning Probes, Universität Erlangen‐Nürnberg, Erlangen, Germany (2017)
Brinckmann, S.; Kirchlechner, C.; Dehm, G.; Matoy, K.: Using simulations to investigate the apparent fracture toughness of microcantilevers. Nanomechanical Testing in Materials Research and Development VI, Dubrovnik, Croatia (2017)
Arigela, V. G.; Kirchlechner, C.; Dehm, G.: Setup of a microscale high temperature loading rig for micro-fracture mechanics. Euromat 2017, Thessaloniki, Greece (2017)
Dehm, G.: Resolving the mechanical performance of materials in microelectronic components with µm spatial resolution. FIMPART - Frontiers in Materials Processing Applications, Research and Technology, Bordeaux, France (2017)
Duarte, M. J.; Fang, X.; Brinckmann, S.; Dehm, G.: In-situ nanoindentation of hydrogen bcc Fe–Cr charged surfaces: Current status and future perspectives. Frontiters in Material Science & Engineering workshop: Hydrogen Interaction in Metals, Max-Planck Institut für Eisenforschung, Düsseldorf, Germany (2017)
Brinckmann, S.; Fink, C.; Dehm, G.: Severe Microscale Deformation of Pearlite and Cementite. 2017 MRS Spring Meeting & Exhibits, Phoenix, AZ, USA (2017)
Luo, W.; Kirchlechner, C.; Dehm, G.; Stein, F.: Fracture Toughness of Hexagonal and Cubic NbCo2 Laves Phases. Nanobrücken 2017, European Nanomechanical Testing Conference, University of Manchester, Manchester, UK (2017)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…
Hydrogen embrittlement is one of the most substantial issues as we strive for a greener future by transitioning to a hydrogen-based economy. The mechanisms behind material degradation caused by hydrogen embrittlement are poorly understood owing to the elusive nature of hydrogen. Therefore, in the project "In situ Hydrogen Platform for…